Using Low-Rank Tensors for the Recovery of MPI System Matrices
Standard
Using Low-Rank Tensors for the Recovery of MPI System Matrices. / Grosser, Mirco; Möddel, Martin; Knopp, Tobias.
in: IEEE T COMPUT IMAG, Jahrgang 6, 2020, S. 1389-1402.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
Harvard
Grosser, M, Möddel, M & Knopp, T 2020, 'Using Low-Rank Tensors for the Recovery of MPI System Matrices', IEEE T COMPUT IMAG, Jg. 6, S. 1389-1402.
APA
Grosser, M., Möddel, M., & Knopp, T. (2020). Using Low-Rank Tensors for the Recovery of MPI System Matrices. IEEE T COMPUT IMAG, 6, 1389-1402.
Vancouver
Grosser M, Möddel M, Knopp T. Using Low-Rank Tensors for the Recovery of MPI System Matrices. IEEE T COMPUT IMAG. 2020;6:1389-1402.
Bibtex
@article{a1067842baa04c238a6c8b391e77eede,
title = "Using Low-Rank Tensors for the Recovery of MPI System Matrices",
author = "Mirco Grosser and Martin M{\"o}ddel and Tobias Knopp",
year = "2020",
language = "English",
volume = "6",
pages = "1389--1402",
journal = "IEEE T COMPUT IMAG",
issn = "2573-0436",
publisher = "IEEE",
}
RIS
TY - JOUR
T1 - Using Low-Rank Tensors for the Recovery of MPI System Matrices
AU - Grosser, Mirco
AU - Möddel, Martin
AU - Knopp, Tobias
PY - 2020
Y1 - 2020
M3 - SCORING: Journal article
VL - 6
SP - 1389
EP - 1402
JO - IEEE T COMPUT IMAG
JF - IEEE T COMPUT IMAG
SN - 2573-0436
ER -
